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Update app.py
Browse files## Key Updates:
Dataset Selection for Fine-Tuning:
Added a dropdown (st.selectbox) to choose from the listed OSINT datasets.
Once a dataset is selected, it's loaded and displayed.
Integrated Fine-Tuning Process:
The model fine-tuning logic remains the same, but it now works with the selected dataset.
Smooth Integration:
The OSINT tools (GitHub analysis, URL fetcher) and dataset/model fine-tuning sections are smoothly integrated into the app, allowing users to work with both data and OSINT tools within a single interface.
app.py
CHANGED
@@ -59,7 +59,8 @@ def fetch_page_title(url):
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# Main Streamlit app
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def main():
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st.title("OSINT Tool")
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-
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st.write("### GitHub Repository OSINT Analysis")
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st.write("Enter the GitHub repository owner and name:")
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@@ -80,18 +81,38 @@ def main():
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st.write(f"Last Commit: {last_commit}")
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st.write(f"Workflow Status: {workflow_status}")
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st.write("### URL Title Fetcher")
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url = st.text_input("Enter a URL to fetch its title:")
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if url:
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title = fetch_page_title(url)
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st.write(f"Title: {title}")
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st.write("### Dataset Upload & Model Fine-Tuning")
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dataset_file = st.file_uploader("Upload a CSV file for fine-tuning", type=["csv"])
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if dataset_file:
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df = pd.read_csv(dataset_file)
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st.dataframe(df.head())
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st.write("Select a model for fine-tuning:")
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model_name = st.selectbox("Model", ["bert-base-uncased", "distilbert-base-uncased"])
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if st.button("Fine-tune Model"):
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# Main Streamlit app
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def main():
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st.title("OSINT Tool")
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# OSINT Repository Analysis
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st.write("### GitHub Repository OSINT Analysis")
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st.write("Enter the GitHub repository owner and name:")
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st.write(f"Last Commit: {last_commit}")
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st.write(f"Workflow Status: {workflow_status}")
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# URL Title Fetcher
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st.write("### URL Title Fetcher")
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url = st.text_input("Enter a URL to fetch its title:")
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if url:
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title = fetch_page_title(url)
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st.write(f"Title: {title}")
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# Dataset Upload & Model Fine-Tuning
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st.write("### Dataset Upload & Model Fine-Tuning")
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st.write("#### Available OSINT Datasets for Fine-Tuning:")
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osint_datasets = [
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"gonferspanish/OSINT",
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"Inforensics/missing-persons-clue-analysis-osint",
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"jester6136/osint",
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"originalbox/osint"
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]
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selected_dataset = st.selectbox("Choose a dataset for fine-tuning:", osint_datasets)
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dataset = load_dataset(selected_dataset)
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# Display dataset
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st.write(f"Dataset {selected_dataset} loaded successfully!")
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st.write(f"First few records:")
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st.write(dataset['train'].head())
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# Upload CSV for fine-tuning
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dataset_file = st.file_uploader("Upload a CSV file for fine-tuning", type=["csv"])
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if dataset_file:
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df = pd.read_csv(dataset_file)
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st.dataframe(df.head())
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# Fine-tuning Model Selection
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st.write("Select a model for fine-tuning:")
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model_name = st.selectbox("Model", ["bert-base-uncased", "distilbert-base-uncased"])
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if st.button("Fine-tune Model"):
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